Exponential Convergence in Feedforward Adaptive Systems Without Persistent Excitation
Conditions are investigated for exponential convergence of the tracking error in feedforward adaptive systems without persistent excitation.
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Conditions are investigated for exponential convergence of the tracking error in feedforward adaptive systems without persistent excitation.
Persistent excitation conditions which ensure parameter convergence in adaptive algorithms have been studied by many researchers. Here, conditions are investigated for exponential convergence of the tracking error in feedforward adaptive systems without persistent excitation. Particular attention is paid to the continuous-time LMS algorithm in the overparametrized case. Results are presented.